Abstract
Anticipating the sugar content of sugarcane stalks is essential to developing data-driven solutions to determine the optimal moment of the mechanized harvesting. However, traditional laboratory measurements are destructive and limited in scale, delaying the harvest planning on an industrial scale. The objective of the project is to characterize the spatial variability of sugarcane quality…